{"id":"W2781716426","doi":"10.1007/s11229-017-1660-0","title":"Accommodation, prediction and replication: model selection in scale construction","year":2018,"lang":"en","type":"article","venue":"Synthese","topic":"Design Education and Practice","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Exploratory factor analysis; Confirmatory factor analysis; Accommodation; Scale (ratio); Replication (statistics); Set (abstract data type); Selection (genetic algorithm); Philosophy of science; Process (computing); Computer science; Psychology; Data science; Management science; Epistemology; Artificial intelligence; Structural equation modeling; Machine learning; Mathematics; Statistics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2650052,0.003625585,0.005381856,0.003769687,0.006338198,0.005400301,0.007997821,0.003975928,0.008222609],"category_scores_gemma":[0.6502586,0.00309806,0.009796565,0.00416944,0.008231503,0.007378593,0.006749211,0.00796024,0.001289351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284023,"about_ca_system_score_gemma":0.007356446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047453,"about_ca_topic_score_gemma":0.0105925,"domain_scores_codex":[0.5264825,0.4372354,0.009677826,0.017935,0.006966535,0.001702657],"domain_scores_gemma":[0.207579,0.7094283,0.006917599,0.06383254,0.01096351,0.001279083],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01664271,0.003097991,0.163845,0.009503244,0.03363499,0.002947575,0.02745444,0.08446432,0.007000216,0.1515664,0.01972274,0.4801203],"study_design_scores_gemma":[0.005543354,0.00452953,0.03367827,0.001651039,0.01341808,0.0008732326,0.007180916,0.5378243,0.01054215,0.3704006,0.01345921,0.0008993067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1233737,0.001678713,0.857285,0.002170071,0.001622058,0.006573451,0.0004929561,0.001079836,0.005724178],"genre_scores_gemma":[0.6287751,0.0001996251,0.3609393,0.0003889759,0.0002209977,0.007510277,0.0005477977,0.0003254169,0.001092446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7349948,"threshold_uncertainty_score":0.9063795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522202039259954,"score_gpt":0.2552044138125351,"score_spread":0.2399823934199355,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}